Koopman Mode Decomposition of Thermodynamic Dissipation in Nonlinear Langevin Dynamics

TL;DR

This paper introduces a Koopman mode decomposition approach to analyze how oscillatory modes in nonlinear Langevin systems contribute to thermodynamic dissipation, providing insights into complex oscillations in nonequilibrium systems.

Contribution

It develops a novel framework using Koopman modes to decompose dissipation into mode-specific contributions in nonlinear Langevin dynamics.

Findings

Dissipation from each mode is proportional to its frequency squared and intensity.

The method effectively quantifies dissipation during phenomena like coherent resonance and bifurcation.

Broad frequency spectra support maximum dissipation at optimal noise levels.

Abstract

Nonlinear oscillations are commonly observed in complex systems far from equilibrium, such as living organisms. These oscillations are essential for sustaining vital processes, like neuronal firing, circadian rhythms, and heartbeats. In such systems, thermodynamic dissipation is necessary to maintain oscillations against noise. However, due to their nonlinear dynamics, it has been challenging to determine how the characteristics of oscillations, such as frequency, amplitude, and coherent patterns across elements, influence dissipation. To resolve this issue, we employ Koopman mode decomposition, which recasts nonlinear dynamics as a linear evolution in a function space. This linearization allows the dynamics to be decomposed into temporal oscillatory modes coherent across elements, with the Koopman eigenvalues determining their frequencies. Using this method, we decompose thermodynamic dissipation caused by nonconservative forces into contributions from oscillatory modes in overdamped nonlinear Langevin dynamics. We show that the dissipation from each mode is proportional to its frequency squared and its intensity, providing an interpretable, mode-by-mode picture. In the noisy FitzHugh--Nagumo model, we demonstrate the effectiveness of this framework in quantifying the impact of oscillatory modes on dissipation during nonlinear phenomena like coherent resonance and bifurcation. For instance, our analysis of coherent resonance reveals that the greatest dissipation at the optimal noise intensity is supported by a broad spectrum of frequencies, whereas at non-optimal noise levels, dissipation is dominated by specific frequency modes. Our work offers a general approach to connecting oscillations to dissipation in noisy environments and improves our understanding of diverse oscillation phenomena from a nonequilibrium thermodynamic perspective.